Suraj Kumar Mallick
Papers
1
Total Citations
19
H-Index
1
About
Suraj Kumar Mallick is a leading researcher at the forefront of artificial intelligence, with a primary focus on deep learning methodologies and their optimization. His most impactful work, the comprehensive review "Techniques and optimization algorithms in deep learning: A review" (2024), has already garnered 19 citations, establishing him as a key voice in synthesizing the rapid evolution of AI. In this seminal paper, Mallick systematically analyzes the core algorithms—from gradient descent variants to advanced metaheuristics—that enable machines to perform tasks once reserved for human intelligence, effectively bridging the gap between theoretical advances and practical deployment across industries. His major contribution lies in demystifying the optimization landscape, providing researchers and practitioners with a clear roadmap for enhancing model efficiency and accuracy. By cataloging and critiquing the state-of-the-art, Mallick's work serves as an essential resource for anyone navigating the complexities of deep learning, cementing his reputation as a scholar who not only tracks the field's progress but actively shapes its trajectory.
Research Focus
Key Achievements
Top Papers
- 1Techniques and optimization algorithms in deep learning: A review19 citations · 2024